eBay had 14 patents in mobile during Q2 2024. eBay Inc has developed technologies for high granularity metric (HGM)-based control for smart contract execution on a blockchain. This involves detecting function calls, identifying HGMs, comparing them against control rules, and blocking execution based on the comparison. GlobalData’s report on eBay gives a 360-degree view of the company including its patenting strategy. Buy the report here.

eBay had no grants in mobile as a theme in Q2 2024.

Recent Patents

Application: Adaptive security for smart contracts using high granularity metrics (Patent ID: US20240113861A1)

The patent filed by eBay Inc. describes technologies for high granularity metric (HGM)-based control for smart contract execution on a blockchain. The system detects function calls associated with smart contract methods, adds them to a function call stack, identifies HGMs within the stack, compares them against control rules, and blocks execution based on the comparison. The HGMs can be used to analyze anomalous activity, deviations from historical patterns, anomalous latencies, call counts, and call patterns to detect anomalies within smart contracts.

The patent outlines computer storage media storing instructions for detecting function calls, adding them to a stack, identifying HGMs, comparing them against control rules, and blocking execution. The system can analyze HGMs to identify anomalies, deviations from historical patterns, anomalous latencies, call counts, and call patterns. The HGMs can be programmable metrics measuring functional properties at different levels, and the detection of HGMs in the function call stack can be done using Function Boundary Tracing (FBT) functionality. Additionally, the patent describes a computer system with processors and storage media to perform the operations outlined in the patent for controlling smart contract execution based on HGM analysis and comparison against control rules.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.